Data Science Interview questions

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📌 Causal ML for the Aspiring Data Scientist

🗂 Category: MACHINE LEARNING

🕒 Date: 2026-01-26 | ⏱️ Read time: 18 min read

An accessible introduction to causal inference and ML

#DataScience #AI #Python

📌 How Cursor Actually Indexes Your Codebase

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2026-01-26 | ⏱️ Read time: 10 min read

Exploring the RAG pipeline in Cursor that powers code indexing and retrieval for coding agents

#DataScience #AI #Python

📌 Ray: Distributed Computing For All, Part 2

🗂 Category: PROGRAMMING

🕒 Date: 2026-01-26 | ⏱️ Read time: 11 min read

Deploying and running Python code on cloud-based clusters

#DataScience #AI #Python

📌 How Convolutional Neural Networks Learn Musical Similarity

🗂 Category: MACHINE LEARNING

🕒 Date: 2026-01-26 | ⏱️ Read time: 13 min read

Learning audio embeddings with contrastive learning and deploying them in a real music recommendation app

#DataScience #AI #Python

📌 Going Beyond the Context Window: Recursive Language Models in Action

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2026-01-27 | ⏱️ Read time: 24 min read

Explore a practical approach to analysing massive datasets with LLMs

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📌 Data Science as Engineering: Foundations, Education, and Professional Identity

🗂 Category: DATA SCIENCE

🕒 Date: 2026-01-27 | ⏱️ Read time: 15 min read

Recognize data science as an engineering practice and structure education accordingly.

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📌 From Connections to Meaning: Why Heterogeneous Graph Transformers (HGT) Change Demand Forecasting

🗂 Category: DATA SCIENCE

🕒 Date: 2026-01-27 | ⏱️ Read time: 12 min read

How relationship-aware graphs turn connected forecasts into operational insight

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📌 Layered Architecture for Building Readable, Robust, and Extensible Apps

🗂 Category: SOFTWARE ENGINEERING

🕒 Date: 2026-01-27 | ⏱️ Read time: 11 min read

If adding a feature feels like open-heart surgery on your codebase, the problem isn’t bugs,…

#DataScience #AI #Python

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📌 I Ditched My Mouse: How I Control My Computer With Hand Gestures (In 60 Lines of Python)

🗂 Category: COMPUTER VISION

🕒 Date: 2026-01-28 | ⏱️ Read time: 9 min read

A step-by-step guide to building a “Minority Report”-style interface using OpenCV and MediaPipe

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📌 Modeling Urban Walking Risk Using Spatial-Temporal Machine Learning

🗂 Category: MACHINE LEARNING

🕒 Date: 2026-01-28 | ⏱️ Read time: 12 min read

Estimating neighborhood-level pedestrian risk from real-world incident data

#DataScience #AI #Python

📌 Federated Learning, Part 2: Implementation with the Flower Framework

🗂 Category: FEDERATED LEARNING

🕒 Date: 2026-01-28 | ⏱️ Read time: 11 min read

Implementing cross-silo federated learning step by step

#DataScience #AI #Python

📌 Machine Learning in Production? What This Really Means

🗂 Category: MACHINE LEARNING

🕒 Date: 2026-01-28 | ⏱️ Read time: 10 min read

From notebooks to real-world systems

#DataScience #AI #Python

📌 Optimizing Vector Search: Why You Should Flatten Structured Data

🗂 Category: MACHINE LEARNING

🕒 Date: 2026-01-29 | ⏱️ Read time: 7 min read

An analysis of how flattening structured data can boost precision and recall by up to 20%

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📌 RoPE, Clearly Explained

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2026-01-29 | ⏱️ Read time: 8 min read

Going beyond the math to build intuition

#DataScience #AI #Python

📌 The Unbearable Lightness of Coding

🗂 Category: LLM APPLICATIONS

🕒 Date: 2026-01-29 | ⏱️ Read time: 9 min read

Confessions of a vibe coder

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📌 Randomization Works in Experiments, Even Without Balance

🗂 Category: DATA SCIENCE

🕒 Date: 2026-01-29 | ⏱️ Read time: 10 min read

Randomization usually balances confounders in experiments, but what happens when it doesn’t?

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📌 Creating an Etch A Sketch App Using Python and Turtle

🗂 Category: PROGRAMMING

🕒 Date: 2026-01-30 | ⏱️ Read time: 7 min read

A beginner-friendly Python tutorial

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